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Evaluation of Artificial intelligence in Detecting Diabetic Retinopathy

Simple, Mobile-based Artificial Intelligence AlgoRithms in the detection of Diabetic ReTinopathy (SMART) Study - SMART

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2018/06/014665
Enrollment
900
Registered
2018-06-29
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: null- Diabetes Mellitus Health Condition 2: E08-E13- Diabetes mellitus

Interventions

None listed

Sponsors

Medios Technologies Pte Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Individuals with diabetes mellitus

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
To evaluate the sensitivity and specificity of the AI algorithm in detecting any grade of diabetic retinopathy using retinal images captured from patients with diabetes mellitusTimepoint: End of the study—

Secondary

MeasureTime frame
To evaluate the sensitivity and specificity of the AI algorithm in detecting any grade of diabetic retinopathy using retinal images captured from patients with diabetes mellitusTimepoint: End of the Study—

Countries

India

Contacts

Public ContactBhavana Sosale

Diacon Hospital

bhavanasosale@gmail.com

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026